The present disclosure provides systems and methods for predicting ground effects along a flight plan. The systems and methods provide a processor executed process including the steps: receiving a flight plan for a vertical take-off and landing (vtol) aircraft; receiving terrain and obstacles geospatial data for the flight plan from the database; determining weight of the vtol aircraft along the flight plan; determining temperature of the environment along the flight plan; determining ground effect data along the flight plan based on the temperature and the weight; and generating one or more commands to control a system of the vtol aircraft based on the ground effect data.
|
1. A vertical take-off and landing (vtol) aircraft, the vtol aircraft comprising:
at least one processor configured to execute program instructions, wherein the program instructions are configured to cause the at least one processor to:
receive a flight plan for a vertical take-off and landing (vtol) aircraft;
receive terrain geospatial data for the flight plan from a database including terrain geospatial data;
determine weight of the vtol aircraft along the flight plan;
determine temperature of the environment along the flight plan;
determine ground effect data along the flight plan based on the temperature and the weight; and
generate one or more commands to control a system of the vtol aircraft based on the ground effect data.
2. The vtol aircraft of
generate the one or more commands to control a display system of the vtol aircraft to display symbology describing one or more ground effect regions based on the ground effect data.
3. The vtol aircraft of
4. The vtol aircraft of
5. The vtol aircraft of
determine one or more maneuvers based on the ground effect data.
6. The vtol aircraft of
generate the one or more commands to control a display system of the vtol aircraft to display guidance representing the one or more maneuvers.
7. The vtol aircraft of
generate the one or more commands to control an autopilot system of the vtol aircraft to implement the one or more maneuvers.
8. The vtol aircraft of
9. The vtol aircraft of
10. The vtol aircraft of
11. The vtol aircraft of
determine an in-ground effect altitude and/or an out of ground effect altitude along the flight plan as part of the ground effect data based on the temperature and the weight;
determine an altitude profile of the vtol aircraft based on the terrain data and the flight plan; and
compare the in-ground effect altitude and/or the out of ground effect altitude to the altitude profile to predict where, along the flight plan, the vtol aircraft will enter and/or exit a ground effect region and to include ground effect region entry and/or exit data as an input to generating the one or more commands.
12. The vtol aircraft of
|
This application is a continuation of U.S. patent application Ser. No. 16/920,070, filed Jul. 2, 2020, which claims priority to Indian Provisional Patent Application No. 202011021225, filed May 20, 2020, the entire content of which is incorporated by reference herein.
The present disclosure generally relates to systems and methods for predicting ground effects along a flight plan of a vertical take-off and landing (VTOL) aircraft. More particularly, the systems and methods described herein provide for displaying symbology representing the predicted ground effects and/or automatically controlling the VTOL aircraft based on predicted ground effects.
VTOL aircraft (rotorcrafts or air taxi's) are frequently subjected to ground effects including in-ground effects (IGE) and out-of-ground effects (OGE). The in-ground effects induce an additional lift force on the aircraft, which, when not managed properly, can lead to undesirable effects for the aircraft. Additionally, in cases of urban VTOL aircraft operations, while in a sky port or helipad, in-ground effect during hover taxiing can result in an increased outflow distortion of the blade tip vortices. The outflow of air may disturb adjacent unsecured ground equipment and/or cause the control surfaces of adjacent parked aircraft to be forced against their stops with a potential for damage. The transition from in-ground effect to out-of-ground effect can also cause a noticeable force change for the VTOL aircraft. Yet further, flying outside of out-of-ground effect must be considered carefully because hovering is no longer possible at such altitudes.
Accordingly, an object of the present disclosure is to provide systems and methods to determine ground effects, particularly ground effect change points, that impact the VTOL aircraft and control at least one VTOL system based on predicted ground effects along a flight plan. It may additionally be interesting to provide systems and methods that display the predicted ground effects to a pilot. Furthermore, other desirable features and characteristics of the disclosure will become apparent from the subsequent detailed description and the appended claims, taken in conjunction with the accompanying drawings and this background of the disclosure.
Systems and methods are provided for predicting ground effects along a flight plan. The systems and methods provide a processor executed process including the steps: receiving a flight plan for a vertical take-off and landing (VTOL) aircraft; receiving terrain and obstacles geospatial data for the flight plan from the database; determining weight of the VTOL aircraft along the flight plan; determining temperature of the environment along the flight plan; determining ground effect data along the flight plan based on the temperature and the weight; and generating one or more commands to control a system of the VTOL aircraft based on the ground effect data. A VTOL aircraft and computer program product is also provided.
This summary is provided to describe selected concepts in a simplified form that are further described in the Detailed Description. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
The present disclosure will hereinafter be described in conjunction with the following drawing figures, wherein like numerals denote like elements, and wherein:
The following detailed description is merely exemplary in nature and is not intended to limit the invention or the application and uses of the invention. As used herein, the word “exemplary” means “serving as an example, instance, or illustration.” Thus, any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments. All of the embodiments described herein are exemplary embodiments provided to enable persons skilled in the art to make or use the invention and not to limit the scope of the invention, which is defined by the claims. Furthermore, there is no intention to be bound by any expressed or implied theory presented in the preceding technical field, background, brief summary, or the following detailed description.
The present disclosure provides systems and methods to predict ground effect change points for a VTOL aircraft along a flight plan. The ground effect type and altitude can be determined based on the weight of the VTOL aircraft and the environmental temperature. Ground effect change points can be determined based on transitions along the flight plan into and out of an in ground effect region and an out of ground effect region. A ground effect look up table can be used based on published performance charts for the VTOL aircraft. Alternatively, learning based algorithms can be used to derive the ground effect altitudes of the VTOL aircraft over a period. Based on the computed ground effect change points, a display can be generated for the pilot including ground effect symbology in the flight plan. Additionally, or alternatively, a displayed or audible alerting mechanism can be used for the ground effect change points. Additionally, or alternatively, the ground effect information can be prepared to adjust flight controls in a fly by wire (autopilot system). In autopilot embodiments, the systems and methods can determine the amount of force which is to be generated based on, for example, predicted approach speed of the aircraft, entry point into ground effect or exit point of the ground effect, and the type of ground surface. This information along with the start point of ground effect region and end point of ground effect region combined allows the system to generate appropriate commands to suppress or utilize the ground effect forces in accordance with the phase of flight of the aircraft. For systems without fly by wire technology, the ground effect indication on the display will help the pilot with the change in the forces acting on the aircraft at various instances.
Systems and methods described herein obtain the weight and temperature of the aircraft along the flight plan. With this information, ground effect altitudes of the aircraft are computed along the flight plan. In embodiments, the altitudes computed along the flight plan are compared with features in a terrain and obstacles database. The terrain and obstacles database may be available in the cockpit or hosted in a cloud environment. Once the compared data is obtained, the change points are mapped with the corresponding ground effects. The mapping may be displayed or output to an autopilot for generating responsive aircraft control commands. The pilot is, in embodiments, provided with an alerting mechanism before the aircraft enters a ground effect region. Suitable symbology is used to depict the corresponding ground effects. The symbology may graphically and/or textually/numerically depict whether the ground effect is in ground effect or out of ground effect and may graphically and/or textually/numerically depict the corresponding altitude for commencement of the ground effect along the flight plan.
Having summarized the systems and methods for predicting ground effects in the foregoing, a more detailed description is provided in the following with respect to
The VTOL aircraft 12 is one that can hover, take off, and land vertically. VTOL aircrafts can include a variety of types of aircraft including fixed-wing aircraft as well as helicopters and other aircraft with powered rotors, such as cyclogyros/cyclocopters and tiltrotors. The VTOL aircraft 12 may be an electric or hybrid-electric vertical takeoff and landing aircraft eVTOL or may be otherwise powered. The VTOL aircraft 12 can be a human piloted (ground-based or cockpit-based) aircraft (usually with assistance of an autopilot module 26) or an unmanned aerial vehicle (drone). The VTOL aircraft 12 is, in embodiments, a passenger air vehicle (PAV) or does not carry passengers (e.g. a cargo aircraft). In embodiments, the VTOL aircraft 12 is a rotorcraft.
The processing system 24 includes one or more processors 32 that are configured to execute computer programming instructions stored on non-transitory memory (not shown) and embodied in computer programs 40. Functions of the ground effect prediction system 10 and steps of method 200 (
The processing system 24 includes a flight plan determination module 34 for determining a flight plan based on inputs representing at least a destination location. The flight plan determination module 34 outputs flight plan data 50. The destination location can be entered through the user interface 42, which may be ground-based or cockpit-based. The user interface 42 may be a keyboard device (virtual or physical), a voice recognition unit, a touchscreen device, a mouse device, a trackball device, or any other suitable user input device. The flight plan data 50 describes a flight path from a source location to the destination location. The source location of the flight plan is often a current location obtained from location data 52 from the sensor system 14 (and described further below). The flight plan data 50 may include a series of geospatial waypoints defined in three-dimensional space including longitude, latitude and altitude. The flight plan determination module 34 can utilize any known flight plan routing algorithm and determines the flight path based additionally on a navigation database (not shown) included in the ground effect prediction system 10. The flight plan determination module 34 may be included as part of a flight management system (not shown) of the VTOL aircraft 12.
In one embodiment, the sensor system 14 includes a Global Positioning System (GPS) or global navigation satellite system (GNSS) receiver and is configured to determine location of VTOL aircraft 12 based on global position data obtained from satellites, e.g. by trilateration with three or more satellites. In some embodiments, the sensor system 14 is configured to determine VTOL aircraft location based on Wide Area Augmentation System (WAAS) or other augmented satellite-based global position data. A network of ground-based reference stations provides measurements of small variations in the GPS satellites' signals so that onboard GPS or GNSS receivers use the corrections while computing their positions to improve accuracy of location data 52. The sensor system 14 includes sensors distributed throughout VTOL aircraft 12 to provide aircraft data (not shown), as will be described further herein. Further, the sensor system 14 includes a thermocouple or other temperature measure device in order to provide temperature data 54 for the current environment.
The database of ground effect charts 20 include digital versions of published hover charts for the VTOL aircraft 12. A significant aspect of VTOL aircraft 12 performance revolves around whether or not the VTOL aircraft 12 can be hovered. More power is required during the hover than in any other flight regime. The systems and methods described herein allow enhanced management of hovering information and the impact of differing hovering conditions on the VTOL aircraft 12. Hover charts are provided for in ground effect (IGE) hover and out of ground effect (OGE) hover under various conditions of gross weight, altitude, temperature, and power. The IGE hover ceiling is usually higher than the OGE hover ceiling because of the added lift benefit produced by ground effect. At some point, the power required is equal to the power available. This establishes the hovering ceiling under the existing conditions. Any adjustment to the gross weight by varying fuel, payload, or both, affects the hovering ceiling. The heavier the gross weight, the lower the hovering ceiling. As gross weight is decreased, the hover ceiling increases. Accordingly, the database of ground effect charts 20 can be interrogated to obtain in ground effect and out of ground effect altitudes 62, which will be used by the systems and methods described herein to determine ground effect change points along the flight plan.
In order to interrogate the database of ground effects charts 20 and obtain ground effects altitudes, the ground effect prediction system 10 determines the weight of the VTOL aircraft 12 and the temperature of the environment at locations distributed throughout the flight plan.
The processing system 24 includes a weight determination module 28 that determines the weight of the VTOL aircraft 12 at distributed points (e.g. each waypoint) throughout the flight plan and outputs corresponding weight data 58. The weight determination module 28 receives an initial aircraft weight (at the source location) based on, for example, cargo loaded, number of passengers, initial amount of fuel and known empty weight of the VTOL aircraft 12. This information may be entered via the user interface 42. The weight determination module 28 calculates fuel usage based on the flight plan including distance travelled, planned speed of travel, any wind conditions that may affect rate of fuel usage (and which is known from weather data 56 obtained from the weather information sources 18 (described further below)) and any other relevant fuel consumption parameters. Fuel consumption determination algorithms are known in the art. Based on the amount of fuel consumed at locations distributed throughout the flight plan, a reducing weight of the VTOL aircraft 12 can be determined. Any other factors reducing the weight of the VTOL aircraft 12 along the flight plan may also be taken into account in determining the varying weight of the VTOL aircraft 12 (e.g. dropping off cargo or passengers at locations along the flight plan).
The ground effect determination module 36 retrieves temperature information for locations and times distributed throughout the flight plan. The temperature information can be obtained from sensor system 14 for local temperature data 54 (e.g. from a temperature sensor) and from uplinked weather data for more distant temperature data, which is obtained from the weather information sources 18. The weather information sources 18 provide location specific weather data 56 including geospatial temperature data. The weather information sources 18 include surface aviation weather observations from ground stations (e.g. METARs), air traffic control weather information, upper air weather observations (e.g. aircraft meteorological data relay (AMDAR) and ground-based, satellite or aircraft mounted radar observations (e.g NEXRAD). Satellite datalink services allow sharing of weather information to provide detailed and comprehensive real-time weather data 56 including accurate temperature data at each location (e.g. waypoint) along the flight plan. The temperature data includes forecast temperature data based on the predicted time of the VTOL aircraft 12 at each location along the flight plan, where the predicted time is encapsulated in the flight plan.
The ground effect determination module 36 uses the flight plan, temperature data 54, 56 and the weight data 58 to determine in ground effect altitudes and out of ground effect altitudes for locations distributed throughout the flight plan and possibly based on other aircraft specific parameters. The in ground effect altitudes may be a maximum distance from the ground (or other ground surface) at which an in ground effect will be experienced by the VTOL aircraft at each location according to the specified altitude from the flight plan, the weight at that location and the temperature at that location. The out of ground effect altitudes include at least a height relative to ground (or other ground surface) for which in ground effect is no longer experienced and may also include a maximum ceiling for the out of ground effect (above which hovering is not possible), again based on the specific combination of weight, altitude and temperature for each location along the flight plan. The ground effect determination module 36 uses the database of ground effect charts 20 in some embodiments to determine the ground effect altitudes 62. However, in other embodiments, the ground effect determination module 36 includes learning algorithms to learn the dependence of in and out of ground effect altitudes 62 on altitude, weight and temperature and any other factors that are considered to be of relevance. Instead of a look-up table in a database, a formula calculation may be used. The ground effect determination module 36 may additionally consider other factors such as terrain in determining the ground effect altitudes 62, which is known from terrain and obstacles data 60 from terrain and obstacles database 22. Different types of terrain will have different impacts on in ground effect altitudes. Generally, smoother terrain (such as calm waters, desert terrain, etc.) will allow for higher in ground effect altitudes than rougher terrain (such as forestry, rocky areas, etc.). The ground effect determination module 36 receives, or calculates, the ground effect altitudes and corresponds them with geospatial information from the flight plan, to thereby provide ground effect data 62.
The processing system 24 includes the ground effect traversal module 38, which determines points along the flight path where the VTOL aircraft will traverse a ground effect region. The ground effect traversal module 38 outputs predicted ground effect traversal data 64. In some embodiments, the ground effect traversal module 38 determines ground effect change points, specifically when entering an in ground effect region from an out of ground effect region and when entering an out of ground effect region from an in ground effect region. These change points are embodied in the predicted ground effect traversal data 64. In embodiments, the ground effect traversal module 38 receives, as inputs, the ground effect data 62, the terrain and obstacles data 60 and the flight plan data 50. The terrain and obstacles data 60 is evaluated with respect to the ground effect altitudes embodied in the ground effect data 62 to determine relative heights above ground surfaces (including terrain and obstacle surfaces) of the boundary between in and out of ground effect altitudes (and optionally also the out of ground effect ceiling). The flight plan can then be evaluated with respect to those boundaries to determine when the VTOL aircraft 12 is predicted to cross into and out of in ground effect and out of ground effect regions and thus to predict ground effect change points along the whole flight plan, thereby providing predicted ground effect traversal data 64.
The predicted ground effect traversal data 64 can be used in one or more different ways. In one embodiment, the processing system includes a display generation module 30 for generating a display on the one or more display devices 16 to depict symbology representing ground effect change points (or other ground effect data). The display generation module 30 outputs display data 66 embodying the presentation for the one or more display devices 16. In some embodiments, the generated display is a synthetic vision display showing value of aircraft parameters (such as speed, altitude, etc.) based on data from the sensor system 14, terrain and obstacles based on terrain and obstacles data 60 and also the ground effect symbology described herein. The display device(s) 16 outputs presentations 300, 400 (see
Referring to
Referring to
Although presentations 300, 400 of
In some embodiments, autopilot module 26 is configured to receive predicted ground effect traversal data 64 and to determine one or more commands representing maneuvers for safely traversing ground effect regions, particularly for improved handling at ground effect transitions. Autopilot module 26 is configured to determine an amount of force generation required based on predicted (or planned) speed of the VTOL aircraft 12 at the location of the ground effect region, the type of ground effect and optionally a type of ground surface at the location (e.g. based on terrain data from terrain and obstacles database 22). The determined force, which can be calculated from aeronautic principles or learned by the autopilot module 26 using machine learning, can be used as an input to determine the one or more commands. Change in ground forces predicted by the autopilot module 26 allows the autopilot module 26 to determine changes in thrust and/or steering and/or other controllable parameters of the VTOL aircraft 12, to effectively traverse ground effect regions. The one or more commands may be displayed on display device 16 as advisories for the pilot or they may be used as digital commands in a fly by wire system.
Whilst ground effect prediction system 10 is described herein as being located in VTOL aircraft 12, it should be understood that remote or cloud processing capabilities and data sources could be used by VTOL aircraft 12. As such, one or more components described with respect to VTOL aircraft 12, particularly processing system 24 and the associated modules 26, 28, 30, 34, 36, 38, may not necessarily be located onboard the VTOL aircraft 12.
Method 200 includes step 210 of determining, via the flight plan determination module 34, a flight plan for the VTOL aircraft 12. The flight plan may be determined based on a routing algorithm using a current location of the VTOL aircraft 12 as one input and a destination location as another input. The current location is determined based on location data 52 from the sensor system 14. The destination location is entered by the user interface 42 or from a remote source. The flight plan includes a series of waypoints representing three-dimensional locations along which the VTOL aircraft 12 will track during flight. The flight plan may also include speed and other planned aircraft metrics.
Method 200 includes step 220 of determining, via the weight determination module 28, the weight of the VTOL aircraft 12 along the flight plan. Step 220 includes calculating a progressive reduction in the fuel weight of the VTOL aircraft 12 based on the flight plan as an input. Method 200 includes step 230 of determining environmental temperature along the flight plan. Local temperature can be determined from temperature data 54 from the sensor system 14. Distant temperatures can be predicted based on location along the flight plan, predicted time of passing that location from the flight plan and uplinked forecast weather for that time and location.
Method 200 includes step 240 of determining, via the ground effect determination module 36, ground effect altitudes along the flight plan. The ground effect altitudes may be heights relative to ground surfaces in some embodiments or absolute values or a combination of both. The ground effect altitudes will be impacted by pressure altitude (which is obtained from planned altitude along the flight plan), temperature and weight and possibly other factors. One exemplary further factor is ground surface type, which may be obtained from terrain and obstacles data 60. The ground effect altitudes may include a relative height of in ground effect, a relative height for commencement of out of ground effect conditions and an absolute ceiling for out of ground effect conditions. The ground effect altitudes can be determined from the database of ground effect charts 20, from a mapping of learned ground effect altitudes, or from a mathematical formula.
Method 200 includes step 250 of comparing, via ground effect traversal module 38, ground effect altitudes and terrain and obstacles along the flight plan based on the terrain and obstacles data 60. In particular, the location of a boundary between in and out of ground effect conditions above terrain and obstacles is determined and optionally also the upper boundary for out of ground effect flight. The flight plan is compared with the boundaries and ground effect change points along the flight plan may determined and output as predicted ground effect traversal data 64, thereby predicting where VTOL aircraft will traverse a ground effect region in step 260.
Although method 200 describes one exemplary manner of determining ground effect regions with respect to method steps 240 and 250, other process are envisaged. Based on predicted weight, temperature, flight plan altitude and terrain, various algorithms are possible for determining where the VTOL aircraft 12 will traverse an in ground effect region and an out of ground region and the transitions therebetween.
Method 200 includes step 270 of displaying ground effect symbology in one embodiment. In additional or alternative embodiments, method 200 includes determining one or more maneuvers in response to ground effect regions. Referring to
Embodiments of the ground effect prediction system 10 have been described in terms of functional and/or logical block components and various processing steps. It should be appreciated that such block components may be realized by any number of hardware, software, and/or firmware components configured to perform the specified functions. For example, an embodiment of the present disclosure may employ various integrated circuit components, e.g., memory elements, digital signal processing elements, logic elements, look-up tables, or the like, which may carry out a variety of functions under the control of one or more microprocessors or other control devices. In addition, those skilled in the art will appreciate that embodiments of the present disclosure may be practiced in conjunction with any number of systems, and that the systems described herein is merely exemplary embodiments of the present disclosure.
For the sake of brevity, conventional techniques related to signal processing, data transmission, signaling, control, and other functional aspects of the systems (and the individual operating components of the systems) may not be described in detail herein. Furthermore, the connecting lines shown in the various figures contained herein are intended to represent example functional relationships and/or physical couplings between the various elements. It should be noted that many alternative or additional functional relationships or physical connections may be present in an embodiment of the present disclosure.
The use cases and the depictions provided here are only exemplary in nature. It should be possible to use different symbology and semantics to accomplish the same concepts described herein.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Numerical ordinals such as “first,” “second,” “third,” etc. simply denote different singles of a plurality and do not imply any order or sequence unless specifically defined by the claim language. The sequence of the text in any of the claims does not imply that process steps must be performed in a temporal or logical order according to such sequence unless it is specifically defined by the language of the claim. The process steps may be interchanged in any order without departing from the scope of the invention as long as such an interchange does not contradict the claim language and is not logically nonsensical.
Furthermore, depending on the context, words such as “connect” or “coupled to” used in describing a relationship between different elements do not imply that a direct physical connection must be made between these elements. For example, two elements may be connected to each other physically, electronically, logically, or in any other manner, through one or more additional elements.
While at least one exemplary embodiment has been presented in the foregoing detailed description of the invention, it should be appreciated that a vast number of variations exist. It should also be appreciated that the exemplary embodiment or exemplary embodiments are only examples, and are not intended to limit the scope, applicability, or configuration of the invention in any way. Rather, the foregoing detailed description will provide those skilled in the art with a convenient road map for implementing an exemplary embodiment of the invention. Various changes may be made in the function and arrangement of elements described in an exemplary embodiment without departing from the scope of the invention as set forth in the appended claims.
Kanagarajan, Sivakumar, P R, Sriram, Fem, Lisa
Patent | Priority | Assignee | Title |
Patent | Priority | Assignee | Title |
10012982, | Dec 11 2015 | FUJIFILM Business Innovation Corp | System and method for focus and context views for telepresence and robotic teleoperation |
10017263, | Apr 11 2016 | Sikorsky Aircraft Corporation | Model based contact predictor |
10053208, | Dec 18 2015 | Amazon Technologies, Inc. | Systems and methods for simulating ground effect |
10124893, | Sep 18 2017 | Amazon Technologies, Inc.; Amazon Technologies, Inc | Prognostics and health management system |
10410527, | Jun 26 2014 | Amazon Technologies, Inc. | Ground effect based surface sensing using propellers in automated aerial vehicles |
10526080, | Jul 10 2019 | Kitty Hawk Corporation | Altitude estimation using differential pressure sensors in ground effect |
11181934, | May 20 2020 | Honeywell International Inc. | Systems and methods for predicting ground effects along a flight plan |
3190582, | |||
3244246, | |||
6963291, | May 17 2002 | NATIONAL AERONAUTICS AND SPACE ADMINISTRATION, THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE ADMINISTRATION OF THE, THE | Dynamic wake prediction and visualization with uncertainty analysis |
7926340, | Jun 19 2008 | Airbus Operations SAS | Hybrid method for estimating the ground effect on an aircraft |
8489373, | Apr 21 2009 | AIRBUS OPERATIONS SOCIETE PAR ACTIONS SIMPLIFIEE | Method and tool for simulation of the aerodynamic behaviour of an aircraft in flight close to the ground |
9317040, | Jun 25 2014 | The United States of America as represented by the Secretary of the Navy | Aircraft ground effect altimeter for autonomous landing control |
9376208, | Mar 18 2015 | Amazon Technologies, Inc | On-board redundant power system for unmanned aerial vehicles |
9639087, | Dec 06 2016 | Kitty Hawk Corporation | Emergency landing using inertial sensors |
9802713, | Aug 24 2015 | Honeywell International Inc. | Method and system for improving situational awareness of unanticipated yaw on a rotorcraft system |
9828087, | Jan 27 2016 | Honeywell International Inc. | Systems and methods for ground effect ceiling limit display |
9828107, | Aug 25 2014 | STC.UNM | Redundant component and intelligent computerized control system for multi-rotor VTOL aircraft |
20050197811, | |||
20050230563, | |||
20110264314, | |||
20110299732, | |||
20130062455, | |||
20160140854, | |||
20160189549, | |||
20160200415, | |||
20160207625, | |||
20160307447, | |||
20160376031, | |||
20170106537, | |||
20170148236, | |||
20170148467, | |||
20170178518, | |||
20170243494, | |||
20170267343, | |||
20180096609, | |||
20180307231, | |||
20190017569, | |||
20190031371, | |||
20190138005, | |||
20190340934, | |||
20200023993, | |||
20200398983, | |||
20210109547, | |||
20210304315, | |||
20210335138, |
Executed on | Assignor | Assignee | Conveyance | Frame | Reel | Doc |
Oct 07 2021 | Honeywell International Inc. | (assignment on the face of the patent) | / |
Date | Maintenance Fee Events |
Oct 07 2021 | BIG: Entity status set to Undiscounted (note the period is included in the code). |
Date | Maintenance Schedule |
Jun 20 2026 | 4 years fee payment window open |
Dec 20 2026 | 6 months grace period start (w surcharge) |
Jun 20 2027 | patent expiry (for year 4) |
Jun 20 2029 | 2 years to revive unintentionally abandoned end. (for year 4) |
Jun 20 2030 | 8 years fee payment window open |
Dec 20 2030 | 6 months grace period start (w surcharge) |
Jun 20 2031 | patent expiry (for year 8) |
Jun 20 2033 | 2 years to revive unintentionally abandoned end. (for year 8) |
Jun 20 2034 | 12 years fee payment window open |
Dec 20 2034 | 6 months grace period start (w surcharge) |
Jun 20 2035 | patent expiry (for year 12) |
Jun 20 2037 | 2 years to revive unintentionally abandoned end. (for year 12) |